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Computer Science Intern Jobs in Sugar Land, TX (NOW HIRING)

RAVN Aerospace

Intern (Flight Ops AI)

Houston, TX · On-site +1

$14.50 - $19/hr

... Computer Science, Computer Engineering, Systems Engineering, Aerospace Engineering, Mechanical ... intern's academic schedule. * The ideal candidateis located inthe Salt Lake City area and can ...

HMH

Digital Services Engineering Intern

Houston, TX · On-site

The Digital Services Engineering Intern will be responsible for: * Support for AI-enabled ... Engineering, Computer Science, Computational Engineering, or Data Science majors preferred.

New

RAVN Aerospace

Intern (Flight Ops AI)

Houston, TX · On-site

$16 - $20.75/hr

... Computer Science, Computer Engineering, Systems Engineering, Aerospace Engineering, Mechanical ... intern's academic schedule. * The ideal candidate is located in the Salt Lake City area and can ...

LyondellBasell

2027 Cyber Security Intern

Houston, TX · On-site

As a BISO Intern, you'll immerse yourself in the world of Industrial Control Systems (ICS ... Pursuing a bachelor's degree in Computer Science, IS or IT Security, Computer Engineering, Data ...

Crowe LLP

Machine Learning Intern

Houston, TX · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... Data Science Computer Science Mathematics Natural or Social Sciences Relevant additional ...

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Computer Science Intern information

What is a computer science intern?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a computer science intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

What are the most commonly searched types of Computer Science jobs in Sugar Land, TX?

The most popular types of Computer Science jobs in Sugar Land, TX are:

What are popular job titles related to Computer Science Intern jobs in Sugar Land, TX?

For Computer Science Intern jobs in Sugar Land, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Intern jobs in Sugar Land, TX look for?

The top searched job categories for Computer Science Intern jobs in Sugar Land, TX are:

What cities near Sugar Land, TX are hiring for Computer Science Intern jobs?

Cities near Sugar Land, TX with the most Computer Science Intern job openings:

Computer Science Intern jobs near you
Infographic showing various Computer Science Intern job openings in Sugar Land, TX as of September 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Data Science & AI Engineering Internship

Houston, TX • On-site

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Fervo Energyexternal

Full-time, Internship

Posted 4 days ago

Job description

Description

Internship Overview 


You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next. 


Position Description 


Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data & AI Engineer Intern, you'll join Fervo's Data Science team to help build the data pipelines and AI infrastructure that power the company's analytics and machine learning efforts. 

You'll work alongside data scientists and engineers to design, build, and maintain data pipelines, and support the infrastructure that gets AI models into production.

Requirements

Responsibilities 

  • Build and maintain data pipelines and ETL processes 
  • Support deployment and monitoring of machine learning models in production 
  • Help design and maintain data infrastructure and architecture 
  • Collaborate with data scientists to productionize models and analyses 

Required Qualifications 

  • Rising Junior, Senior, Master's/MBA candidate wrapping up within the next year, or PhD candidate - we're building a pipeline toward full-time offers 
  • Pursuing a degree in Computer Science, Data Engineering, or a related technical field 
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership 
  • Eagerness to learn, take initiative, and adapt quickly to new challenges 
  • Proficiency in Python and SQL 

Preferred Qualifications 

  • Experience with cloud data platforms (e.g., AWS, Azure, Snowflake, Databricks) 
  • Familiarity with MLOps tools and practices 
  • Experience with big data tools (e.g., Spark, Airflow) 

Apply